toolkit_info
Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context by specifying what the returned state contains, though it does not mention caching, freshness, or authentication prerequisites.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One sentence, front-loaded with the action and resource, followed by a compact enumeration of returned data. Every phrase adds value and nothing is wasted.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-argument read-only inspection tool, the description is mostly complete: it states the resource and the main output categories. It stops short of specifying the exact response structure or whether authentication is required first, but the given detail is sufficient for straightforward invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters, so the schema is trivially complete and there is no parameter meaning for the description to add. The baseline of 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Returns') and a concrete resource ('current toolkit state'), then enumerates the exact contents: installed MCPs, connection status, connected accounts, and catalog tool counts. This clearly distinguishes it from sibling info/connection tools like show_version or authenticate.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'current toolkit state' gives a clear use case for status inspection, and the enumerated contents make it obvious it is the diagnostic/status tool. However, it does not explicitly contrast it with siblings such as show_version or authenticate, nor state when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The Plaud-specific tools are clearly distinct, but 'marketplace' is a mega-tool that appears to cover search, invoke, install, subscribe, prompts, and bug reporting — overlapping with connect, toolkit_info, and the standalone report_bug tool. An agent could easily pick the wrong entry point for connection status, installed tools, or feedback.
There is a clean plaud_get_* / plaud_list_* cluster, but the platform tools mix verbs and nouns: authenticate, connect, marketplace, report_bug, show_version, toolkit_info. The naming is readable and the Plaud prefix helps, but the overall pattern is inconsistent.
Eleven tools is a reasonable count and mostly well-scoped for a Plaud integration plus MCP platform management. It is slightly heavy because 'marketplace' bundles many sub-capabilities into one tool while several small utility tools exist separately.
The Plaud retrieval surface covers user, recordings, recording details, transcript, and AI notes, which is sufficient for the main use case of accessing Plaud data. Minor gaps exist around delete/update operations, but recordings are created externally by the hardware, so read-focused coverage is acceptable.